Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
& Summary
A career withinData & AnalyticsServices will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences.
*Responsibilities:
Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.
Establish and promote best practices inmodeling, experimentation, and analytical rigor.
Convert real-world healthcare challenges into scalable data science solutions.
Collaborate with global stakeholders to influence product and business strategy.
Mentor and enhance the technical capabilities of the data science team.
Keep up to date with the latest advances in ML and healthcare analytics.
*Mandatory skill sets
Conduct exploratory data analysis using visualizations to understand data patterns and structures.
Perform statistical analysis and hypothesis testing to validate assumptions.
Develop, deploy, evaluate, and fine-tune machine learning models for business challenges.
Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms.
Utilize advanced statistical and machine learning methods to derive actionable insights.
Lead AI research projects focused on innovative data analysis techniques.
Qualifications:
4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions.
Strong expertise with Azure Stack services and Snowflake.
Proficient in SQL with deep knowledge of dimensionalmodeling
Experience creating interactive dashboards using Power BI or Tableau.
Familiarity with advanced statistical analysis, machine learning, and predictivemodeling
Programming proficiency in R or Python preferred.
Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.
Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus.
*Preferred skill sets
Python, Machinelearning ,Deep learning
Years of experience required
5+years
Location :Hyderabad
EmploymentType :Full Time, Permanent
*Education Qualification
Full time B.E
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data Engineering
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
August 5, 2026
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
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